Deep Tech Stories Philipp Stürmer

In the last episode, we explored Hampus' journey from mandatory military service to university, where they started their company with the sole goal of not working for a big corporate entity. Throughout this time, he experienced a lot of paradigm shifts, learning that not only can he solve problems he thought he wouldn't be able to, but also being able to define the problem, to begin with, even when there are plenty of more experienced people around him. These paradigm shifts continued after selling their company to BlackBerry, something that put him on the path of eventually starting the early stageClimate Fund, pale blue dot.
Hampus Twitter: https://twitter.com/hajak
Pale Blue Dot: https://paleblue.vc/
The Drop: https://www.thedropconf.com/
TechBBQ: https://techbbq.dk/
If you enjoyed this episode, why not recommend it to a friend?
Homepage: https://www.deeptechstories.io
Podcast Twitter: https://twitter.com/deeptechpod
My Twitter: https://twitter.com/sturmerph
LinkedIn: https://www.linkedin.com/company/deeptechstories
Music by Nathaniel Drew x Tom Fox:
https://www.nathanieldrew.com/
https://tfbeats.com/
Design by Amadeus Schwed:
https://elementsofpuremotion.com/


This podcast uses the following third-party services for analysis:

Chartable - https://chartable.com/privacy

The climate crisis is one of the most urgent challenges we face today. And while there are many different things one can do as an individual, it is easy to get overwhelmed by the sheer scale of it. Hampus, like many of us, felt that way when he was working as a venture capitalist after selling his company to BlackBerry. But instead of letting it paralyze him, he turned his concern into action. He decided to focus his life on combating climate change by starting his own climate tech fund.
During this interview, you'll very quickly notice two things about Hampus. Firstly, he is highly energetic, which leads to him interviewing himself as I tend to be more introverted. Secondly, Hampus is deeply curious about anything he comes across, which motivates and drives him and starts during mandatory Swedish military service.
Hampus Twitter: https://twitter.com/hajak
Pale Blue Dot: https://paleblue.vc/
The Drop: https://www.thedropconf.com/
TechBBQ: https://techbbq.dk/
If you enjoyed this episode, why not recommend it to a friend?
Homepage: https://www.deeptechstories.io
Podcast Twitter: https://twitter.com/deeptechpod
My Twitter: https://twitter.com/sturmerph
LinkedIn: https://www.linkedin.com/company/deeptechstories
Music by Nathaniel Drew x Tom Fox:
https://www.nathanieldrew.com/
https://tfbeats.com/
Design by Amadeus Schwed:
https://elementsofpuremotion.com/


This podcast uses the following third-party services for analysis:

Chartable - https://chartable.com/privacy

In this second part of Deep Tech Stories, we dive into the founding story of Cerebriu and how Robert Lauritzen and his co-founders struggled with CoViD and GDPR, making it nearly impossible to get their software past hospital management and into scanners.
So it is 2018 and Robert and his co-founders just came together to form Cerebriu with 6 months of runway. Over the last years of his career Robert learned how to manage hundreds of people spread across the globe and eventually become self-employed as a consultant. When starting Cerebriu he had to put that knowledge into action, come up with a MVP and increase their runway quickly.
Chapters:
(0:00:00) - GDPR and Medical Tech
(0:14:21) - Risk Stratification Solutions COVID-19
(0:25:20) - Ethical Considerations in Health Tech
(0:31:05) - Transforming the Paradigm With Early Adopters
Chapter Summaries:
(0:00:00) - GDPR and Medical Tech (14 Minutes)
In this part of Deep Tech Stories, we explore the founding story of Cerebriu and how Robert Lauritzen and his co-founders navigated the challenges of CoViD, GDPR, and hospital management to bring their software to life. Starting with only six months of runway, the team quickly pivoted from biomarker quantification to being a workflow company, developing their brain MRI automation product, Apollo.

(0:14:21) - Risk Stratification Solutions COVID-19 (11 Minutes)
During the CoViD-19 pandemic, Cerebriu developed lung X-ray technology for risk stratification. The discussion also covers the importance of securing the CE Mark for medical devices, the difficulties of implementing new technology in hospitals, and the company's strategic partnership with Siemens. Additionally, we examine the market transition toward a platform approach and Cerebriu's plans for profitability and expanding its product portfolio.

(0:25:20) - Ethical Considerations in Health Tech (6 Minutes)
In this section, we discuss how to raise funds for a MedTech company, the importance of having a clear ethical compass, and Cerebriu's plans for the future. With their ethical guidelines, the company aims to work with hospital partners and other organizations transparently and responsibly. As Cerebriu continues to grow, they plan to collaborate with other OEMs and expand its offerings in medical technology.

(0:31:05) - Transforming the Paradigm With Early Adopters (1 Minutes)
In this portion of Deep Tech Stories, we focus on Cerebriu's journey to market. Bringing their groundbreaking brain technology to early adopters and beginning the transformation in the medical field. As a small company, this task is monumental, but the potential impact is immense. Join us as we explore the steps Cerebriu is taking to change the paradigm.
If you enjoyed this episode, why not recommend it to a friend?
Homepage: https://www.deeptechstories.io
Podcast Twitter: https://twitter.com/deeptechpod
My Twitter: https://twitter.com/sturmerph
LinkedIn: https://www.linkedin.com/company/deeptechstories
Music by Nathaniel Drew x Tom Fox:
https://www.nathanieldrew.com/
https://tfbeats.com/
Design by Amadeus Schwed:
https://elementsofpuremotion.com/


This podcast uses the following third-party services...

Have you ever laid inside an MRI machine, listening to the loud buzzing and thumping sounds, wondering what's going on outside?
It's a strange experience, lying there, helpless, relying on the machine to give doctors a glimpse inside your body.
But in the end, the doctors still need to interpret that glimpse by themselves, often with the help of a radiologist, which takes time and resources.
So it seems like the perfect task to automate and reach super-human performance using Machine Learning, right?
That's exactly what Robert Lauritzen and his Co-Founders at Cerebriu thought as well.
Robert himself has a long entrepreneurial history, which prepared him perfectly for revolutionizing medical imaging techniques, starting all the way back during high-school.
If you enjoyed this episode, why not recommend it to a friend?
Homepage: https://www.deeptechstories.io
Podcast Twitter: https://twitter.com/deeptechpod
My Twitter: https://twitter.com/sturmerph
LinkedIn: https://www.linkedin.com/company/deeptechstories
Music by Nathaniel Drew x Tom Fox:
https://www.nathanieldrew.com/
https://tfbeats.com/
Design by Amadeus Schwed:
https://elementsofpuremotion.com/


This podcast uses the following third-party services for analysis:

Chartable - https://chartable.com/privacy

So it's 2012, and Casper is at the end of a sabbatical he started after leaving the hardware startup he started during his studies, Unispeed, at the Niels Bohr Institute in Copenhagen.
Just as he was starting to head back into the job market, deep learning achieved a major breakthrough in object classification, propelling the technology to the heights it is now.
This is also when AI sparked Casper's interest, and he remembered his old idea.
If you enjoyed this episode, why not recommend it to a friend?
Homepage: https://www.deeptechstories.io
Podcast Twitter: https://twitter.com/deeptechpod
My Twitter: https://twitter.com/sturmerph
LinkedIn: https://www.linkedin.com/company/deeptechstories
Music by Nathaniel Drew x Tom Fox:
https://www.nathanieldrew.com/
https://tfbeats.com/
Design by Amadeus Schwed:
https://elementsofpuremotion.com/


This podcast uses the following third-party services for analysis:

Chartable - https://chartable.com/privacy

Modern AI in particular, so-called deep learning is everywhere. Alone in the last few months, a new generation of image generation based on text prompts emerged that is arguably on par with human artists. However, in many crucial applications, the black-box nature of such models is a problem. If you want to let the AI drive a car, no regulator or decision maker will allow it. The same is true for any applications that deal with scientific understanding. You want to understand why the AI comes to its prediction and which parts of your dataset are essential.
But there is a different approach to AI that would be able to solve this black box problem. So-called symbolic regression, instead of obtaining several million or billions of parameters, which make up your model, you would get an equation that the person can understand just by looking at it.
The problem is symbolic regression is insanely hard to do. In fact, it is so tricky that no one has managed to use it for anything than the most basic toy models. No one but a small Danish startup called Abzu, which just received a 2.5 million Euro grant from the European Union to apply their symbolic regression algorithm to drug discovery.
Abzu's CEO Casper Willstrup an avid Coder, ever since his childhood, initially came up with the idea for Abzu, the QLattice, during his physics studies in the mid-90s. Ever since he came up with the idea to solve symbolic regression, his career took many twists and turns, all leading back to him studying physics and getting his first computer when he was nine years old.
If you enjoyed this episode, why not recommend it to a friend?
Homepage: https://www.deeptechstories.io
Podcast Twitter: https://twitter.com/deeptechpod
My Twitter: https://twitter.com/sturmerph
LinkedIn: https://www.linkedin.com/company/deeptechstories
Music by Nathaniel Drew x Tom Fox:
https://www.nathanieldrew.com/
https://tfbeats.com/
Design by Amadeus Schwed:
https://elementsofpuremotion.com/


This podcast uses the following third-party services for analysis:

Chartable - https://chartable.com/privacy